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| 1 | Breeding wheat for resistance to Fusarium head blight in the Global North: China, USA, and Canada显示文摘The objective of this paper is to review progress made in wheat breeding for Fusarium head blight(FHB) resistance in China, the United States of America(USA), and Canada. In China,numerous Chinese landraces possessing high levels of FHB resistance were grown before the 1950 s. Later, pyramiding multiple sources of FHB resistance from introduced germplasm such as Mentana and Funo and locally adapted cultivars played a key role in combining satisfactory FHB resistance and high yield potential in commercial cultivars.Sumai 3, a Chinese spring wheat cultivar, became a major source of FHB resistance in the USA and Canada, and contributed to the release of more than 20 modern cultivars used for wheat production, including the leading hard spring wheat cultivars Alsen, Glenn, Barlow and SY Ingmar from North Dakota, Faller and Prosper from Minnesota, and AAC Brandon from Canada. Brazilian wheat cultivar Frontana, T. dicoccoides and other local germplasm provided additional sources of resistance. The FHB resistant cultivars mostly relied on stepwise accumulation of favorable alleles of both genes for FHB resistance and high yield,with marker-assisted selection being a valuable complement to phenotypic selection. With the Chinese Spring reference genome decoded and resistance gene Fhb1 now cloned, new genomic tools such as genomic selection and gene editing will be available to breeders, thus opening new possibilities for development of FHB resistant cultivars. | Zhanwang Zhu Yuanfeng Hao Mohamed Mergoum Guihua Bai Gavin Humphreys Sylvie Cloutier Xianchun Xia Zhonghu He | 2019 | The Crop Journal2019，7，6： | 12 |
| 2 | Genomic regions underlying agronomic traits in linseed(Linum usitatissimum L.) as revealed by association mapping显示文摘The extremeclimate of the Canadian Prairies poses a major challenge to improve yield. Although it is possible to breed for yield per se, focusing on yield-related traits could be advantageous because of their simpler genetic architecture.The Canadian flax core collection of 390 accessions was genotyped with 464 simple sequence repeat markers, and phenotypic data for nine agronomic traits including yield, bolls per area, 1,000 seed weight, seeds per boll, start of flowering,end of flowering, plant height, plant branching, and lodging collected from up to eight environments was used for association mapping. Based on a mixed model (principal component analysis (PCA)tkinship matrix (K)), 12 significant marker-trait associations for six agronomic traits were identified.Most of the associations were stable across environments as revealed by multivariate analyses. Statistical simulation for five markers associated with 1000 seed weight indicated that the favorable alleles have additive effects. None of the modern cultivars carried the five favorable alleles and the maximum number of four observed in any accessions was mostly in breeding lines. Our results confirmed the complex genetic architecture of yield-related traits and the inherent difficulties associated with their identification while illustrating the potential for improvement through marker-assisted selection. | Braulio J.Soto-Cerda Scott Duguid Helen Booker Gordon Rowland Axel Diederichsen Sylvie Cloutier | 2014 | Journal of Integrative Plant Biology2014，56，1： | 8 |
| 3 | Gene expression of stearoyl-ACP desaturase and Δ12 fatty acid desaturase 2 is modulated during seed development of flax (Linum usitatissimum)显示文摘 | Bourlaye Fofana Sylvie Cloutier Scott Duguid Jacqueline Ching Chris Rampitsch | 2006 | Lipids2006，，7： | 1 |
| 4 | Fine mapping Fhb1, a major gene controlling fusarium head blight resistance in bread wheat (Triticum aestivum L.)显示文摘 | Patricia A. Cuthbert Daryl J. Somers Julian Thomas Sylvie Cloutier Anita Brulé-Babel | 2006 | Theoretical and Applied Genetics2006，，8： | 1 |
| 5 | Development and analysis of EST-SSRs for flax (Linum usitatissimum L.)显示文摘 | Sylvie Cloutier Zhixia Niu Raju Datla Scott Duguid | 2009 | Theoretical and Applied Genetics2009，，1： | 1 |
| 6 | Estimation of genetic parameters and their sampling variances for quantitative traits in the type 2 modified augmented design显示文摘The type 2 modified augmented design(MAD2) is an efficient unreplicated experimental design used for evaluating large numbers of lines in plant breeding and for assessing genetic variation in a population. Statistical methods and data adjustment for soil heterogeneity have been previously described for this design. In the absence of replicated test genotypes in MAD2, their total variance cannot be partitioned into genetic and error components as required to estimate heritability and genetic correlation of quantitative traits, the two conventional genetic parameters used for breeding selection. We propose a method of estimating the error variance of unreplicated genotypes that uses replicated controls, and then of estimating the genetic parameters. Using the Delta method, we also derived formulas for estimating the sampling variances of the genetic parameters.Computer simulations indicated that the proposed method for estimating genetic parameters and their sampling variances was feasible and the reliability of the estimates was positively associated with the level of heritability of the trait. A case study of estimating the genetic parameters of three quantitative traits, iodine value, oil content, and linolenic acid content, in a biparental recombinant inbred line population of flax with 243 individuals, was conducted using our statistical models. A joint analysis of data over multiple years and sites was suggested for genetic parameter estimation. A pipeline module using SAS and Perl was developed to facilitate data analysis and appended to the previously developed MAD data analysis pipeline(http://probes.pw.usda.gov/bioinformatics_ tools/MADPipeline/index.html). | Frank M.You Qijian Song Gaofeng Jia Yanzhao Cheng Scott Duguid Helen Booker Sylvie Cloutier | 2016 | The Crop Journal2016，4，2： | 1 |
| 7 | Barking pigs: differences in acoustic morphology predict juvenile responses to alarm calls显示文摘 | Winnie Y. Chan Sylvie Cloutier Ruth C. Newberry | 2011 | Animal Behaviour2011，，4： | 1 |
| 8 | Perspectives on a collaborative Canada-China research program on diagnostic biomarkers for pre-dementia stages of Alzheimer’s disease显示文摘 | Serge Gauthier Jianping Jia Sylvie Belleville Simon Cloutier Dessa Sadovnick Colleen Guimond Laura Robb Mario Masellis Guy A Rouleau Liyong Wu Pedro Rosa-Neto | 2017 | Journal of Translational Neuroscience2017，2，3： | 0 |
| 9 | Accuracy of genomic selection in biparental populations of flax(Linum usitatissimum L.)显示文摘Flax is an important economic crop for seed oil and stem fiber. Phenotyping of traits such as seed yield, seed quality, stem fiber yield, and quality characteristics is expensive and time consuming. Genomic selection(GS) refers to a breeding approach aimed at selecting preferred individuals based on genomic estimated breeding values predicted by a statistical model based on the relationship between phenotypes and genome-wide genetic markers. We evaluated the prediction accuracy of GS(rMP) and the efficiency of GS relative to phenotypic selection(RE) for three GS models: ridge regression best linear unbiased prediction(RR-BLUP),Bayesian LASSO(BL), and Bayesian ridge regression(BRR), for seed yield, oil content, iodine value, linoleic, and linolenic acid content with a full and a common set of genome-wide simple sequence repeat markers in each of three biparental populations. The three GS models generated similar rMPand RE, while BRR displayed a higher coefficient of determination(R^2)of the fitted models than did RR-BLUP or BL. The mean rMPand RE varied for traits with different heritabilities and was affected by the genetic variation of the traits in the populations.GS for seed yield generated a mean RE of 1.52 across populations and marker sets, a value significantly superior to that for direct phenotypic selection. Our empirical results provide the first validation of GS in flax and demonstrate that GS could increase genetic gain per unit time for linseed breeding. Further studies for selection of training populations and markers are warranted. | Frank M.You Helen M.Booker Scott D.Duguid Gaofeng Jia Sylvie Cloutier | 2016 | The Crop Journal2016，4，4： | 0 |
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